Data on seed production from 102 Fagus crenata sites in northern Japan and process model parameters for predicting annual variation
Data files
Jun 05, 2026 version files 759.52 KB
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Data_used_in_this_study.csv
60.30 KB
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List_of_study_sites.csv
7.03 KB
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Model_estimates.csv
674.15 KB
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Observations_at_Kanumazawa.csv
893 B
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README.md
17.14 KB
Abstract
This dataset supports research on masting dynamics in Fagus crenata across northern Japan. It comprises four CSV files covering 102 study sites in the Tohoku region and the Oshima Peninsula, with qualitative seed production records (four seeding ranks) spanning up to 20 years (1989–2008), along with associated weather cue data derived from meteorological station records. Quantitative seed trap data collected from the Kanumazawa Riparian Research Forest (1990–2008) are also included. In addition, the dataset provides estimates of latent variables (floral primordia, flowers, and mature seeds) and site-level process model parameters derived from a hierarchical population model. These data are intended to facilitate reanalysis of climate–masting relationships, cross-site comparisons of masting synchrony, and the testing or extension of process-based masting models.
Overview
This dataset supports research on masting dynamics in Fagus crenata across northern Japan. It comprises four CSV files covering 102 study sites in the Tohoku region and the Oshima Peninsula of Hokkaido, with qualitative seed production records spanning up to 20 years (1989–2008), along with associated weather cue data derived from meteorological station records. Quantitative seed trap data from the Kanumazawa Riparian Research Forest are also included, together with estimates of latent variables and site-level process model parameters derived from a hierarchical Bayesian population model.
Associated publication:
Masaki T., Hoshizaki K., and Homma C. "Disentangling the effects of geographical location and local climate on masting in Fagus crenata using a comprehensive population model." Basic and Applied Ecology (2025). DOI: 10.1016/j.baae.2025.05.004
Funding:
Japan Society for the Promotion of Science, grants 21H04946 and 24H00783
File List
| File name | Description | Size |
|---|---|---|
| List_of_study_sites.csv | Geographic information for 102 study sites | 7.03 KB |
| Data_used_in_this_study.csv | Qualitative seed production data and weather cues at 102 sites | 60.31 KB |
| Observations_at_Kanumazawa.csv | Quantitative seed trap data at Kanumazawa Riparian Research Forest | 893 B |
| Model_estimates.csv | Latent variable estimates and process model parameters for each site | 674.15 KB |
Supplemental climate data: Average climate information for the 102 study sites (WorldClim-derived; CC BY 4.0) is available as a supplemental dataset on Zenodo: DOI: 10.5281/zenodo.20550356
Missing Data
Missing values are represented as NA throughout all files.
File Descriptions
1. List_of_study_sites.csv
Description: Geographic information for 102 Fagus crenata study sites in northern Japan, including 98 sites in the Tohoku region (Honshu) and 4 sites on the Oshima Peninsula (Hokkaido).
Authors of this dataset: Takashi Masaki, Wajiro Suzuki, and Katsuhiro Osumi
Variables:
| Column name | Description | Unit / Notes |
|---|---|---|
| ID | Unique site identifier | Integer; links to other files |
| Location | Broad geographic region | Text (e.g., "Tohoku region in Honshu") |
| Site name | Site name in Roman alphabet | Text |
| Site name in Japanese | Site name in Japanese characters | Text |
| Latitude | Latitude of the site | Decimal degrees (WGS84) |
| Longitude | Longitude of the site | Decimal degrees (WGS84) |
| Altitude | Elevation of the site above sea level | Meters (m) |
2. Data_used_in_this_study.csv
Description: Qualitative seed production data (seeding ranks) for Fagus crenata at 102 sites over up to 20 years (1989–2008), together with annual weather cue values used in the process model.
Authors of this dataset:
- Tohoku region data (98 sites): Takashi Masaki, Wajiro Suzuki, and Katsuhiro Osumi
- Oshima Peninsula data (4 sites): Kazuhiko Terazawa, Michiyasu Yasaka, Hiromasa Koyama, Hirokazu Kon, Yu Nagasaka, Akiko Nagasaka, Kensuke Onodera, Tomoyuki Abe, and Kazuhiro Minamino
Variables:
| Column name | Description | Unit / Notes |
|---|---|---|
| ID | Unique site identifier | Integer; links to List_of_study_sites.csv |
| Location | Broad geographic region | Text |
| Site name | Site name in Roman alphabet | Text |
| Site name in Japanese | Site name in Japanese characters | Text |
| Obs.seed.rnk.YYYY | Observed seeding rank in year YYYY (1989–2008) | Integer; 0–3 (see seeding rank key below) |
| T.HSM.YYYY | High-temperature summer cue (a single high-temperature pulse in summer) in year YYYY | Dimensionless (standardized to mean = 0 and SD = 1 from original values in °C·days); see definition below |
| T.LSP.YYYY | Low-temperature spring cue (a low-temperature pulse in spring) in year YYYY | Dimensionless (standardized to mean = 0 and SD = 1 from original values in °C·days); see definition below |
Seeding rank key (Obs.seed.rnk):
| Value | Interpretation |
|---|---|
| 0 | None — no seed production observed |
| 1 | Poor — seed production observed in the crowns of a few trees |
| 2 | Modest — seed production observed in the upper part of the crown in more than half of all trees |
| 3 | Mast seeding — seed production observed in the entire crown in most trees |
| NA | Data not available for that year |
Weather cue definitions:
- T.HSM (High-temperature summer cue; a single high-temperature pulse in summer): Cumulative positive daily maximum temperature anomaly during July and August, relative to the daily mean for the reference decade 1990–1999. Only continuous runs of positive anomaly days were summed. Original unit: °C·days; standardized to mean = 0 and SD = 1 before use in the model.
- T.LSP (Low-temperature spring cue; a low-temperature pulse in spring): Cumulative negative daily minimum temperature anomaly during April and May, relative to the daily mean for the reference decade 1990–1999. Only continuous runs of negative anomaly days were summed. The resulting values (negative, indicating colder-than-average conditions) were multiplied by −1 and then standardized to mean = 0 and SD = 1 before use in the model as an index of cue intensity. Original unit: °C·days; standardized values are dimensionless.
Weather data source: Meteorological stations located within 20 km of each site, maintained by the Japan Meteorological Agency and accessed via the Ministry of Agriculture, Forestry and Fisheries Research Network, Japan. Site-level temperatures were corrected for elevation difference between the site and the nearest station using a lapse rate of 0.65°C per 100 m.
3. Observations_at_Kanumazawa.csv
Description: Annual quantitative measurements of Fagus crenata reproductive output collected from seed traps at the Kanumazawa Riparian Research Forest (39.1°N, 140.9°E), 1990–2008. Data are averages across eight traps located directly beneath mature F. crenata trees within a 1-ha monitoring plot.
Authors of this dataset: Chinatsu Homma, Kazuhiko Hoshizaki, and Takashi Masaki
Trap design: 121 seed traps (0.5 m² each) were installed at 10-m intervals within a 1-ha area. Reproductive organs were collected from May to November each year. Eight traps situated directly beneath mature F. crenata trees were used for the quantitative estimates in this file. Because each female flower contains two ovules, each seed recovered was counted as 0.5 flowers when back-calculating flower density.
Variables:
| Column name | Description | Unit |
|---|---|---|
| Year | Observation year | Integer (1990–2008) |
| Obs.seed.rnk | Observed seeding rank (see seeding rank key in File 2) | Integer (0–3) |
| Total density of flowers (per 0.5m2) | Average total flower density per trap | Number of flowers per 0.5 m² |
| Density of flowers that developed into seeds (per 0.5m2) | Average density of flowers that successfully produced seeds per trap | Number of flowers per 0.5 m² |
| T.HSM | High-temperature summer cue for this site and year (see definition in File 2) | Dimensionless (standardized to mean = 0 and SD = 1 from original values in °C·days) |
| T.LSP | Low-temperature spring cue for this site and year (see definition in File 2) | Dimensionless (standardized to mean = 0 and SD = 1 from original values in °C·days) |
4. Model_estimates.csv
Description: Bayesian posterior estimates of latent variables and site-level process model parameters for each of the 102 study sites. Each row corresponds to one parameter or latent variable for one site. Model structure and estimation procedures are described in detail in the associated publication (DOI: 10.1016/j.baae.2025.05.004).
Authors of this dataset: Takashi Masaki, Kazuhiko Hoshizaki, and Chinatsu Homma
Variables (columns):
| Column name | Description | Unit / Notes |
|---|---|---|
| ID | Unique site identifier | Integer; links to List_of_study_sites.csv |
| Site name | Site name in Roman alphabet | Text |
| Site name in Japanese | Site name in Japanese characters | Text |
| Parameter | Name of the estimated parameter or latent variable | Text; see parameter key below |
| Mean | Posterior mean | Depends on parameter (see below) |
| Median | Posterior median | Depends on parameter |
| SD | Posterior standard deviation | Depends on parameter |
| 95% CI lower | Lower bound of the 95% credible interval | Depends on parameter |
| 95% CI Upper | Upper bound of the 95% credible interval | Depends on parameter |
| Rhat | Gelman–Rubin convergence diagnostic (R̂); values near 1.0 indicate convergence | Dimensionless |
Parameter key:
Latent variables (annual, per site):
| Parameter | Description | Unit |
|---|---|---|
| P.YYYY | Estimated number (density) of floral primordia initiated in year YYYY | Dimensionless (range 0–1) |
| F.YYYY | Estimated number (density) of bloomed flowers in year YYYY | Dimensionless (range 0–1) |
| S.YYYY | Estimated number (density) of mature seeds produced in year YYYY | Dimensionless (range 0–1) |
Process model parameters (per site):
| Parameter | Description | Unit / Notes |
|---|---|---|
| alpha.const | Intercept in the logistic regression model for estimating the relative number of floral primordia; P = logit^-1(alpha.HSM × T.HSM + alpha.LSP × T.LSP + alpha.const) | Dimensionless |
| alpha.HSM | Coefficient for the high-temperature summer cue (T.HSM) in the logistic regression model for estimating P | Dimensionless |
| alpha.LSP | Coefficient for the low-temperature spring cue (T.LSP) in the logistic regression model for estimating P | Dimensionless |
| beta.EIP | Exponent parameter for estimating the probability of bloomed flowers evading insect predators; probability = 1 − F ^ beta.EIP | Dimensionless exponent |
| beta.RPF | Exponent parameter for estimating the probability of pollination failure; probability = F ^ beta.RPF | Dimensionless exponent |
| beta.SR | Exponent parameter for estimating the level of surplus resources available for the growth of floral primordia into bloomed flowers; level = 1 − S ^ beta.SR | Dimensionless exponent |
| gamma.BFMS | Environmental veto that prevents bloomed flowers from developing into mature seeds; S = F × (1 − gamma.BFMS) | Dimensionless (range 0–1) |
| gamma.FPBF | Environmental veto that prevents floral primordia from developing into bloomed flowers; F = P × (1 − gamma.FPBF) | Dimensionless (range 0–1) |
Methodological Notes
- Seeding rank assessments for the 98 Tohoku sites were conducted visually every autumn by staff of the Tohoku Regional Forest Office, Forest Agency, Japan, in stands dominated by F. crenata.
- Seeding rank assessments for the 4 Oshima Peninsula sites were derived from seed trap seedfall density data using the same four-level classification criteria.
- Original Tohoku seeding rank data are publicly available (in Japanese) at: https://www.ffpri.affrc.go.jp/labs/tanedas/
Sharing and Access Information
This dataset is published under the CC0 1.0 Universal Public Domain Dedication. Supplemental climate data for the study sites (WorldClim-derived; CC BY 4.0) are available on Zenodo (DOI: 10.5281/zenodo.20550356). Users of the climate data should cite the WorldClim database accordingly:
Hijmans, R.J., Cameron, S.E., Parra, J.L., Jones, P.G., and Jarvis, A. (2005). Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology, 25, 1965–1978. DOI: 10.1002/joc.1276
